๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Prediction of hemodynamic severity of coarctation: a magnetic resonance imaging based prediction tree

โœ Scribed by Stefano Muzzarelli; Jeffery J Meadows; Karen Gomes Ordovas; Michael D Hope; Charles B Higgins; James C Nielsen; Tal Geva; Alison Knauth Meadows


Book ID
104498763
Publisher
BioMed Central
Year
2011
Tongue
English
Weight
581 KB
Volume
13
Category
Article
ISSN
1097-6647

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โœฆ Synopsis


To create a cardiovascular magnetic resonance (CMR) based tree algorithm for predicting coarctation (CoA) transcatheter systolic pressure gradient โ‰ฅ 20mmHg.


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## Abstract ## Purpose To monitor and predict tissue temperature distributions and lesion boundaries during thermal ablation by combining MRI and thermal modeling methods. ## Materials and Methods Radiofrequency (RF) ablation was conducted in the paraspinal muscles of rabbits with MRI monitoring